Industry Use Case

Clustering on Locations Services from Vehicle Telematics Data for Service Center Location

This project introduces the learner to the concept of Supervised and Unsupervised Machine Learning algorithms.

Clustering on Locations Services from Vehicle Telematics Data for Service Center Location
  • 2 bar graph
    Difficulty: Intermediate

    Foundational knowledge or experience in statistics or analytics is recommended

  • Asset 1
    Duration: Approximately 3 hours

Course Overview

  • Aftermarket services are a crucial part of any automobile industry. These services provide higher profit compared to selling the vehicle.
  • These services include emergency vehicle assistance, on-road vehicle repair, warranty, service and maintenance.
  • The use of telemetry data helps to combine vehicle groups and discover places where new service facilities and hotspot zones can be allocated.
  • Learn how to apply clustering algorithms to cluster vehicle groups and find regions to allocate new service centers and hotspot regions for campaign execution.

What’s included

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Lifetime Access

Access this case study for life once completed

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Flexible Scheduling

Start learning online immediately, at your own pace

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Desktop Only

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Skills you will learn

Data Management

Data Visualization

Data Mining

Clustering Analysis

Data Aggregation

Associated Learning Tracks

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